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Showing below up to 50 results in range #101 to #150.
- (hist) STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback [23,815 bytes]
- (hist) When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary [23,758 bytes]
- (hist) Breaking the Softmax Bottleneck: A High-Rank RNN Language Model [23,722 bytes]
- (hist) stat946w18/Spectral [23,722 bytes]
- (hist) stat946f15/Sequence to sequence learning with neural networks [23,722 bytes]
- (hist) Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations [23,595 bytes]
- (hist) compressed Sensing Reconstruction via Belief Propagation [23,435 bytes]
- (hist) Adversarial Attacks on Copyright Detection Systems [23,347 bytes]
- (hist) convex and Semi Nonnegative Matrix Factorization [23,247 bytes]
- (hist) STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study [22,797 bytes]
- (hist) STAT946F17/Decoding with Value Networks for Neural Machine Translation [22,662 bytes]
- (hist) A Neural Representation of Sketch Drawings [22,571 bytes]
- (hist) optimal Solutions forSparse Principal Component Analysis [22,557 bytes]
- (hist) One-Shot Object Detection with Co-Attention and Co-Excitation [22,512 bytes]
- (hist) the Manifold Tangent Classifier [22,426 bytes]
- (hist) Adversarial Fisher Vectors for Unsupervised Representation Learning [22,378 bytes]
- (hist) Pre-Training Tasks For Embedding-Based Large-Scale Retrieval [22,307 bytes]
- (hist) learning Fast Approximations of Sparse Coding [22,149 bytes]
- (hist) Dynamic Routing Between Capsules STAT946 [22,076 bytes]
- (hist) stat441w18/Convolutional Neural Networks for Sentence Classification [21,916 bytes]
- (hist) from Machine Learning to Machine Reasoning [21,916 bytes]
- (hist) supervised Dictionary Learning [21,847 bytes]
- (hist) MarrNet: 3D Shape Reconstruction via 2.5D Sketches [21,822 bytes]
- (hist) relevant Component Analysis [21,795 bytes]
- (hist) A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques [21,774 bytes]
- (hist) Generating Image Descriptions [21,640 bytes]
- (hist) Label-Free Supervision of Neural Networks with Physics and Domain Knowledge [21,530 bytes]
- (hist) Learning to Teach [21,503 bytes]
- (hist) DETECTING STATISTICAL INTERACTIONS FROM NEURAL NETWORK WEIGHTS [21,484 bytes]
- (hist) ShakeDrop Regularization [21,454 bytes]
- (hist) Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms [21,399 bytes]
- (hist) Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition [21,366 bytes]
- (hist) Searching For Efficient Multi Scale Architectures For Dense Image Prediction [21,363 bytes]
- (hist) stat946w18/MaskRNN: Instance Level Video Object Segmentation [21,296 bytes]
- (hist) XGBoost [21,275 bytes]
- (hist) probabilistic PCA with GPLVM [21,275 bytes]
- (hist) Annotating Object Instances with a Polygon RNN [21,235 bytes]
- (hist) Wasserstein Auto-Encoders [21,197 bytes]
- (hist) Time-series Generative Adversarial Networks [21,169 bytes]
- (hist) FeUdal Networks for Hierarchical Reinforcement Learning [20,969 bytes]
- (hist) meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting [20,964 bytes]
- (hist) One-Shot Imitation Learning [20,785 bytes]
- (hist) Training And Inference with Integers in Deep Neural Networks [20,739 bytes]
- (hist) learning a Nonlinear Embedding by Preserving Class Neighborhood Structure [20,705 bytes]
- (hist) Fairness Without Demographics in Repeated Loss Minimization [20,361 bytes]
- (hist) F18-STAT841-Proposal [20,352 bytes]
- (hist) Self-Supervised Learning of Pretext-Invariant Representations [20,351 bytes]
- (hist) Reinforcement Learning of Theorem Proving [20,271 bytes]
- (hist) a Direct Formulation For Sparse PCA Using Semidefinite Programming [20,257 bytes]
- (hist) deflation Methods for Sparse PCA [20,218 bytes]